Company Description

Bosch China Innovation and Software Development Campus

博世创新与软件开发中心

    博世创新软件开发（无锡）有限公司针对交通出行的电动化、自动化、互联化、个性化，提供面向未来的创新技术和前沿解决方案，加速针对中国市场的技术战略的实现和发展。博世软件中心主要发展方向包括智能网联汽车、智能座舱、自动驾驶、车路云协同、工业4.0、人工智能大数据、智能家居、嵌入式软件服务。博世中国创新与软件开发中心以软件为客户赋能，在汽车自动驾驶、氢燃料电池、重卡电驱动桥、多合一的控制器等多个领域取得创新研发成果。

Job DescriptionWe are actively seeking skilled professionals in Model Deployment to join our team, with a primary focus on optimizing and deploying Neural Network for real-time applications at scale. As a pivotal member of our intelligent driving team, you will be responsible for the end-to-end deployment process, ensuring that models transition seamlessly from development to production environments.  Your role will include optimizing performance, managing model versioning, and monitoring deployed models to ensure reliability and efficiency in embedded systems. This position offers a unique opportunity to contribute to the scalability and robustness of cutting-edge AI solutions in a production setting.Generate serialized model files compatible with different platforms (Horizon, Qualcomm, Nvidia, etc) ensuring robust performance and safety in mass-produced vehicles.Collaborate closely with cross-functional teams to seamlessly integrate deployed neural networks into the overall system architecture for real-time applications.Continuously optimize and enhance deployed models to improve overall performance, accuracy, and scalability in production environments.Participate in project planning, milestone setting, and progress tracking to ensure timely delivery of autonomous driving features for mass production.Stay abreast of the latest advancements in autonomous driving technology, actively incorporating new insights and techniques into model deployment.

Qualifications Master’s degree or above in computer science, electronic engineering, mathematics, or related fields.Deep understanding and practical experience in model deployment for autonomous driving systems, with experience at model quantization.Prior experience using deployment toolchains on platforms such as Horizon, Qualcomm, and Nvidia.Familiarity with model quantization methods, e.g. such as PTQ, QATProficiency in programming languages such as C++, Python, etc., with strong coding skills for algorithm development and implementation.Excellent problem-solving skills and the ability to analyze complex technical issues related to autonomous driving.Strong communication skills and a collaborative mindset, with the ability to work effectively in cross-functional teams.Prior experience in prediction/planning model deployment is highly desirable.